Baqun Zhang
- Statistics and Probability top 1%
- Economics and Econometrics top 10%
- Artificial Intelligence
- Management Science and Operations Research
- Molecular Biology
- Co-authors
- Marie DavidianEric B. LaberAnastasios A. TsiatisMin ZhangGuangyu YangDonald S. LikoskyRobert B. HawkinsJonathan W. Haft
- Topics
- Statistical Methods and Inference (12 papers)Advanced Causal Inference Techniques (9 papers)Statistical Methods in Clinical Trials (6 papers)
- Cited by
- Statistics and ProbabilityEconomics and EconometricsManagement Science and Operations Research
- Partner nations
- United StatesChina
In The Last Decade
Baqun Zhang
9 papers receiving 447 citations
Peers
Comparison fields: 5 of 64
- Statistics and Probability 410
- Economics and Econometrics 108
- Artificial Intelligence 46
- Management Science and Operations Research 24
- Molecular Biology 21
Countries citing papers authored by Baqun Zhang
This map shows the geographic impact of Baqun Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Baqun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baqun Zhang more than expected).
Fields of papers citing papers by Baqun Zhang
This network shows the impact of papers produced by Baqun Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Baqun Zhang. The network helps show where Baqun Zhang may publish in the future.
Co-authorship network of co-authors of Baqun Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Baqun Zhang. A scholar is included among the top collaborators of Baqun Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Baqun Zhang. Baqun Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 18 | |
| 10 | Variable Selection for Estimating the Optimal Treatment Regimes in the Presence of a Large Number of Covariate | 2 |
| 11 | 0 | |
| 12 | 273 | |
| 13 | 149 |
About Baqun Zhang
Baqun Zhang is a scholar working on Statistics and Probability, Emergency Medical Services and Control and Systems Engineering, having authored 13 papers that have together received 459 indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), Advanced Causal Inference Techniques (9 papers) and Statistical Methods in Clinical Trials (6 papers). The work is most often cited by research in Statistics and Probability (410 citations), Economics and Econometrics (108 citations) and Management Science and Operations Research (24 citations). Baqun Zhang has collaborated with scholars based in United States and China. Frequent co-authors include Marie Davidian, Eric B. Laber, Anastasios A. Tsiatis, Min Zhang, Guangyu Yang, Donald S. Likosky, Robert B. Hawkins and Jonathan W. Haft. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and Statistics in Medicine.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.